code: def test_torch_upsample(
      *,
      dtype_and_input_and_other,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      (
          input_dtype,
          x,
          mode,
          size,
          align_corners,
      ) = dtype_and_input_and_other
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          input=x[0],
          size=size,
          mode=mode,
          align_corners=align_corners,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_torch/test_nn/test_functional/test_vision_functions.py
imports: from hypothesis import assume, strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_experimental.test_nn.test_layers import _interp_args
label_desc: Use image node_id 11 for calling a global function with example usage: test_torch_upsample() without return types